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Tableau Next
Set Up Tableau Agent in Tableau Next

Set Up Tableau Agent in Tableau Next

Configure users, turn on organization features, and create and activate an agent for analytics and visualizations in Tableau Next.

Required Editions

View supported editions.

Guided setup is available for Tableau Next, including AI features. For more information, see Guided Tableau Next Setup.

Note
Note After June '26, Agentforce for Analytics is now Tableau Agent in Tableau Next, Concierge: Analytics Q&A is conversational analytics, Data Pro is semantic modeling, and Inspector is proactive insights. As we transition to these new terms, you may see a mix of the new and old terms in our documentation.
User Permissions Needed
To enable the query engine setting Data Q&A Indexing and Semantic Enrichments in Data 360 One of View Setup and Configuration, Customize Application or System Administrator, Access Data Cloud or Access Data Cloud / Genie Platform
To assign permission sets, configure organization settings, and enable Einstein, Agentforce, Tableau Next, and Agentforce for Analytics: System Administrator

Assign User Permission Sets

Users need the following permission sets to access Tableau Agent templates in Agentforce.

  • One of Tableau Unmetered Admin or Tableau Next Admin, Tableau Unmetered Platform Analyst or Tableau Next Platform Analyst, Tableau Unmetered Self-Service Analyst or Tableau Next Self-Service Analyst, Tableau Unmetered Self-Service Consumer or Tableau Next Self-Service Consumer, or Tableau Unmetered Consumer or Tableau Next Consumer
  • Data Cloud User (required for all users)
  1. From Setup, in the Quick Find box, enter Permission, and select Permission Sets.
  2. Select a permission set: Tableau Unmetered Admin or Tableau Next Admin, Tableau Unmetered Platform Analyst or Tableau Next Platform Analyst, Tableau Unmetered Self-Service Analyst or Tableau Next Self-Service Analyst, Tableau Unmetered Self-Service Consumer or Tableau Next Self-Service Consumer, or Tableau Unmetered Consumer or Tableau Next Consumer.
  3. Click Manage Assignments.
  4. Click Add Assignments.
  5. Select one or more users by checking the box next to their name.
  6. Click Assign.
  7. Perform these steps again for the same users, selecting the Data Cloud User permission set.

Repeat this process for users in other roles that need access to Tableau Agent templates in Agentforce.

Enable Tableau Next, Einstein, and Agentforce

Tableau Agent requires that Tableau Next, Einstein, and Agentforce are set up and configured in your organization. Perform these steps if you haven't yet.

  1. Enable Tableau Next.
  2. Enable Agentforce.
  3. Enable Einstein Generative AI for Tableau Next.
    1. Set up Einstein Generative AI.
    2. Set up Einstein Trust Layer.
    3. Turn on Einstein Generative AI data collection and storage.

Confirm Data Q&A Indexing and Semantic Enrichments is Enabled in Data 360

The Data Q&A Indexing and Semantic Enrichments (Beta) setting must be enabled in Data 360 for the Home org before you can turn on the Data Analysis setting in Tableau Next Features > Settings.

To access Data Cloud Setup > Feature Manager and turn on the Data Q&A Indexing and Semantic Enrichments (Beta) setting, you'll need one of the following permission sets:

  • View Setup and Configuration
  • Customize Application or System Administrator
  • Access Data Cloud or Access Data Cloud / Genie Platform
  1. Go to Data Cloud Setup.
  2. Under Feature Management, click Feature Manager.
  3. Confirm the Data Q&A Indexing and Semantic Enrichments (Beta) setting is enabled.
  4. Agree to the terms and service, and then confirm that you want to enable it.

Enabling the Data Q&A Indexing and Semantic Enrichments setting in Data 360 updates semantic models for new agent capabilities in the Home org and all Companion orgs. Depending on your data, this operation can take up to several hours. For Q&A Calibration, questions in Verified Question lists for preexisting agents will be marked as Needs Verification. These questions can be revalidated with existing and new agents.

The Data Q&A Indexing and Semantic Enrichments setting must be enabled in Data 360 for the Home org. If you are using Companion orgs, the Data Q&A Indexing and Semantic Enrichments setting must be enabled on the Home org but the Tableau Agent and Data Analysis settings must be enabled on the Companion org.

Activate Tableau Agent in Tableau Next

Tableau Agent is a collection of pre-built agentic capabilities made available through the Analytics and Visualization agent template. Turning these settings on in Tableau Next makes the Analytics and Visualization agent template and its subagents and actions available to you in Agentforce Builder and Agentforce Studio.

  1. In Tableau Next, click Administration, and then click Settings.
  2. Under General Settings, click Tableau Next Features.
  3. Turn on Tableau Agent to enable the Analytics and Visualization template in Agentforce Builder and Agentforce Studio.
  4. Turn on Data Analysis to enable the Data Analysis subagent in Agentforce Builder or Agentforce Studio.
  5. Optional: Turn on Q&A Calibration (Beta). You can access this tool in the Tableau Next menu to test questions in an agent that uses Data Analysis, and then verify and calibrate results. For more information, see Use Q&A Calibration to Improve Accuracy in Tableau Agent.
  6. Optional: Turn on Semantic Model Curation (Beta) and other semantic layer AI-readiness features to build and refine semantic models. This setting isn't required for Tableau Agent, but it enables useful tools for improving AI readiness in semantic models used by agents.
    Semantic Model Curation (Beta)

    Enables the Semantic Modeling template in Agentforce Builder and Agentforce Studio. Also enables other non-agentic AI capabilities in the Semantic Model Builder. For more information, see Create and Refine Semantic Models with Semantic Modeling and Set Up Semantic Modeling (Beta).

    Semantic Built-In AI Accelerates and streamlines semantic model creation and maintenance.
    Semantic Model AI Optimization (Beta) Anables automated checks on semantic data models to detect optimization opportunities. This tool surfaces issues with guided resolutions to improve model quality and reliability for AI-powered agents and analytics.
    Semantic Description Generator (Beta) Drafts descriptions for your semantic model entities with AI. Accurate descriptions boost agent response accuracy. Be sure to review and edit suggestions before saving.
Note
Note

Tableau Agent requires well-designed semantic models to understand data and confidently answer questions. AI-readiness features add context, enrich, and calibrate semantic models so you can actively test, refine, and deepen an agent's understanding of your business.

Create an Agent with the Analytics and Visualization Template

Use the Analytics and Visualization V2 template to create a new agent and assign it to users.

  • To build and manage Tableau Agent, which is an Agentforce Employee Agent, you'll need the Manage AI Agents or Customize Application system permission.
  • To update Tableau Next settings, you'll need the Tableau Next Admin permission set.
Note
Note After July '26, to create a Tableau Agent with conversational analytics, you must use the new Analytics and Visualization V2 template and its Data Analysis subagent. Admins must start in the Agentforce Studio app to create a new agent.

Verify the New Agent in Tableau Next

Verify that users can select the new agent from Agentforce in Tableau Next, ask questions in the agent, and receive a response.

  1. Open a metric or dashboard in Tableau Next.
  2. Click the Agentforce button Agentforce icon to open the Agentforce panel.
  3. In the Select Agent list, choose the new agent.
  4. Ask a question about the data and verify a response is generated.

If a semantic model isn’t configured for use with Tableau Agent, you may be prompted to complete Analytics Agent Readiness enablement. For more information, see Enable Analytics Agent Readiness.

Set up Agent Scoping to specify a fallback list of semantic models to serve as context for the agent in situations where the context is ambiguous. Click the LLM Model tab to configure the model mode as Best Performance (offers faster responses) or Best Accuracy (offers enhanced reasoning).

 
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